Model Etis Penggunaan AI di Perguruan Tinggi: Peran Literasi Digital dan Perpustakaan Akademik

Authors

  • Moch. Fikriansyah Wicaksono Universitas Brawijaya Author
  • Jani Jani UIN Sayyid Ali Rahmatullah Tulungagung Author

DOI:

https://doi.org/10.69533/t2ry2730

Keywords:

digital literacy, AI Ethics, Artificial Intelligence

Abstract

Penggunaan kecerdasan buatan (AI) di lingkungan pendidikan tinggi menimbulkan berbagai tantangan etika yang membutuhkan perhatian serius. Artikel ini bertujuan untuk mengembangkan model konseptual penggunaan etis AI di institusi pendidikan tinggi melalui pendekatan studi literatur konseptual. Analisis dilakukan pada berbagai artikel ilmiah terindeks dan dokumen kebijakan internasional yang relevan dengan topik literasi digital, etika teknologi, dan peran institusi dalam tata kelola AI. Hasil penelitian mengidentifikasi empat elemen utama yang membentuk kerangka etika penggunaan AI: (1) literasi digital etis yang mencakup kompetensi kognitif, reflektif, dan etis; (2) kontribusi strategis perpustakaan dalam mendidik pengguna, merumuskan kebijakan, dan mengawasi penerapan AI yang bertanggung jawab; (3) perlunya kebijakan kelembagaan adaptif dan berbasis nilai; dan (4) pentingnya kolaborasi multi-pemangku kepentingan dalam pengembangan pedoman dan pengawasan integrasi AI. Studi ini berkontribusi pada pengembangan tata kelola AI yang inklusif dan bertanggung jawab di sektor pendidikan, serta merekomendasikan strategi implementasi yang dapat diadopsi oleh perguruan tinggi di Indonesia.

References

Acosta-Enriquez, B. G., Arbulu Ballesteros, M., Vilcapoma Pérez, C. R., Huamaní Jordan, O., Martin Vergara, J. A., Martel Acosta, R., Arbulu Perez Vargas, C. G., & Arbulú Castillo, J. C. (2025). AI in academia: How do social influence, self-efficacy, and integrity influence researchers’ use of AI models? Social Sciences & Humanities Open, 11. https://doi.org/10.1016/j.ssaho.2025.101274

Adabor, E. S., Addy, E., Assyne, N., & Antwi-Boasiako, E. (2025). Enhancing sustainable academic course delivery using AI in technical universities: An empirical analysis using adaptive learning theory. Sustainable Futures, 10. https://doi.org/10.1016/j.sftr.2025.100828

Al-Zahrani, A. M. (2024). Unveiling the shadows: Beyond the hype of AI in education. Heliyon, 10. https://doi.org/10.1016/j.heliyon.2024.e30696

Archambault, S. G., Ramachandran, S., Acosta, E., & Fu, S. (2024). Ethical dimensions of algorithmic literacy for college students: Case studies and cross-disciplinary connections. The Journal of Academic Librarianship, 50. https://doi.org/10.1016/j.acalib.2024.102865

Atkinson, J. (2021). Technology and change management in academic libraries: An overview and literature review. In Technology, Change and the Academic Library. https://doi.org/10.1016/B978-0-12-822807-4.00002-6

Bognár, L., & Khine, M. S. (2025). The shifting landscape of student engagement: A pre-post semester analysis in AI-enhanced classrooms. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100395

Carvalho, L., Bonifácio, E., & Proença, A. (2025). Ethics in the teaching profession – the perception of students in initial training. Social Sciences & Humanities Open, 11. https://doi.org/10.1016/j.ssaho.2025.101554

Chen, Z., Chen, C., Yang, G., He, X., Chi, X., Zeng, Z., & Chen, X. (2024). Research integrity in the era of artificial intelligence: Challenges and responses. Medicine (United States), 103. https://doi.org/10.1097/MD.0000000000038811

Cho, C., & Ofosu-Anim, D. (2025). Exploring international students’ perceptions of adopting generative artificial intelligence (GenAI) technologies in learning. Social Sciences & Humanities Open, 11. https://doi.org/10.1016/j.ssaho.2025.101418

Do, A. D., Ha, D. L., Thi Tran, N. M., Pham, C. A., Nguyen, T. U., Thi Mac, M. H., & Mai Vu, N. C. (2025). Proactive personality and career adaptability of accounting and auditing students undertaking international practice certificates integrated programs in Vietnam. The International Journal of Management Education, 23. https://doi.org/10.1016/j.ijme.2025.101234

Eriksen, D., Granatino, C., & Barbara Watstein, S. (2025). Reference Service. Encyclopedia of Libraries, Librarianship, and Information Science. https://doi.org/10.1016/B978-0-323-95689-5.00099-7

Eshbach, B. E. (2020). Supporting and engaging students through academic library programming. The Journal of Academic Librarianship, 46. https://doi.org/10.1016/j.acalib.2020.102129

Espartinez, A. S. (2024). Exploring student and teacher perceptions of ChatGPT use in higher education: A Q-Methodology study. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100264

Fu, Y., & Weng, Z. (2024). Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100306

Gmiterek, G., & Kotuła, S. D. (2025). Generative artificial intelligence in the activities of academic libraries of public universities in Poland. The Journal of Academic Librarianship, 51. https://doi.org/10.1016/j.acalib.2025.103043

Gong, Y., Wang, S., & Dong, Y. (2025). Integrating artificial intelligence in entrepreneurship education: Dynamic capabilities and marketing performance among student entrepreneurs. The International Journal of Management Education, 23. https://doi.org/10.1016/j.ijme.2025.101248

Hayawi, K., Shahriar, S., Alashwal, H., & Serhani, M. A. (2024). Generative AI and large language models: A new frontier in reverse vaccinology. Informatics in Medicine Unlocked, 48. https://doi.org/10.1016/j.imu.2024.101533

Ilo, P. I., Nkiko, C., Izuagbe, R., & Furfuri, I. M. (2020). Librarians’ perception of disaster preparedness as precursor for effective preservation and conservation of library resources in Nigerian university libraries. International Journal of Disaster Risk Reduction, 43. https://doi.org/10.1016/j.ijdrr.2019.101381

Jabareen, Y. (2009). Building a Conceptual Framework: Philosophy, Definitions, and Procedure. International Journal of Qualitative Methods , 8(4), 49–62. https://doi.org/10.1177/160940690900800406

Khojasteh, L., Shokrpour, N., & Moslehi, S. (2025). Decision-making in decoding AI-generated content: Emotional dynamics and pedagogical strategies in English for specific purposes education. Teaching and Teacher Education, 157. https://doi.org/10.1016/j.tate.2025.104952

Kim, G., Kim, C., Lee, G. E., Yeon, J., & Lee, J. Y. (2022). What makes a “happy” workplace for librarians? Exploring the organizational functions of academic libraries in South Korea. The Journal of Academic Librarianship, 48. https://doi.org/10.1016/j.acalib.2022.102594

LaFlamme, K. A. (2025). Scaffolding AI literacy: An instructional model for academic librarianship. The Journal of Academic Librarianship, 51. https://doi.org/10.1016/j.acalib.2025.103041

Liu, M., Zhang, L. J., & Zhang, D. (2025). Enhancing student GAI literacy in digital multimodal composing through development and validation of a scale. Computers in Human Behavior, 166. https://doi.org/10.1016/j.chb.2025.108569

Liu, Y.-Y., Dindler, C., Iversen, O. S., & Kafai, Y. B. (2025). A semi-systematic literature review for improving assessment goals, practices, and strategies for promoting computational empowerment in K-12 education. International Journal of Child-Computer Interaction, 45. https://doi.org/10.1016/j.ijcci.2025.100766

Lo, L. S. (2024). Transforming academic librarianship through AI reskilling: Insights from the GPT-4 exploration program. The Journal of Academic Librarianship, 50. https://doi.org/10.1016/j.acalib.2024.102883

Ma, M., Ng, D. T. K., Liu, Z., & Wong, G. K. W. (2025). Fostering responsible AI literacy: A systematic review of K-12 AI ethics education. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100422

Marcum, J. W. (2001). From information center to discovery system: Next step for libraries? The Journal of Academic Librarianship, 27. https://doi.org/10.1016/S0099-1333(00)00181-6

Matos, T., Santos, W., Zdravevski, E., Coelho, P. J., Pires, I. M., & Madeira, F. (2025). A systematic review of artificial intelligence applications in education: Emerging trends and challenges. Decision Analytics Journal, 15. https://doi.org/10.1016/j.dajour.2025.100571

McCartin, L. F., & Wright-Mair, R. (2022). Manifestations of deference behavior in teaching-focused academic librarians. The Journal of Academic Librarianship, 48. https://doi.org/10.1016/j.acalib.2022.102590

Mehrpouyan, A. (2025). Ethical boundaries and cybercultural dynamics in virtual drama education: Navigating student-educator interactions and role confusion. Social Sciences & Humanities Open, 12. https://doi.org/10.1016/j.ssaho.2025.101712

Mnguni, L., Nuangchalerm, P., Zaky El Islami, R. A., Sibanda, D., Sari, I. J., & Ramulumo, M. (2024). The behavioural intentions for integrating artificial intelligence in science teaching among pre-service science teachers in South Africa and Thailand. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100334

Nabhan, S., & Habók, A. (2025). Development and validation of the Teacher Multiliteracies Scale (TMS) for English language teacher education. System, 131. https://doi.org/10.1016/j.system.2025.103673

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2022). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28. https://doi.org/10.1007/s10639-022-11316-w

Pham, N., Pham Ngoc, H., & Nguyen-Duc, A. (2025). Fairness for machine learning software in education: A systematic mapping study. Journal of Systems and Software, 219. https://doi.org/10.1016/j.jss.2024.112244

Portillo, V., Dowthwaite, L., Creswick, H., Pérez Vallejos, E., Ten Holter, C., Koene, A., Jirotka, M., & Zhao, J. (2024). A call to action: Designing a more transparent online world for children and young people. Journal of Responsible Technology, 19. https://doi.org/10.1016/j.jrt.2024.100093

Prior, D. D., Mazanov, J., Meacheam, D., Heaslip, G., & Hanson, J. (2016). Attitude, digital literacy and self efficacy: Flow-on effects for online learning behavior. The Internet and Higher Education, 29. https://doi.org/10.1016/j.iheduc.2016.01.001

Rioseco País, M., Vargas Vitoria, R., Martínez Salazar, C., & Silva Quiroz, J. (2025). Towards AI education: qualitative analysis of the perceptions of professors at a regional public university. Social Sciences & Humanities Open, 12. https://doi.org/10.1016/j.ssaho.2025.101668

Ruark, T. I., & Biazzin, C. (2025). Teaching project management with generative AI: A pedagogical model for responsible and sustainable practice. The International Journal of Management Education, 23. https://doi.org/10.1016/j.ijme.2025.101232

Schmidt, L., Fruehauf, E., & Beman-Cavallaro, A. (2025). Becoming a leader in AI literacy instruction by not reinventing the wheel. The Journal of Academic Librarianship, 51. https://doi.org/10.1016/j.acalib.2025.103117

Siddoo, V., Janchai, W., & Thinnukool, O. (2024). Understanding the multidimensional role of medical travel facilitators: A study on competencies and a proposed model. Heliyon, 10. https://doi.org/10.1016/j.heliyon.2024.e30479

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/J.JBUSRES.2019.07.039

Somerville, M. M. (2015). Informed organization design. In Informed Systems. https://doi.org/10.1016/B978-0-08-100175-2.00005-5

Sun, J., Huang, X., Sun, X., Jiang, Q., Yang, C., Wei, W., Miao, W., & Gu, C. (2025). A catalyst for education? A study on the impact of artificial intelligence assisted learning in painting courses on college students’ continuous learning intention. Acta Psychologica, 258. https://doi.org/10.1016/j.actpsy.2025.105130

Tbaishat, D., Amoudi, G., & Elfadel, M. (2025). Adapting teaching and learning with existing generative AI by higher education Students: Comparative study of Zayed University and King Abdulaziz University. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100421

Waluyo, B., & Kusumastuti, S. (2024). Generative AI in student English learning in Thai higher education: More engagement, better outcomes? Social Sciences & Humanities Open, 10. https://doi.org/10.1016/j.ssaho.2024.101146

Wang, X., Zhao, S., Xu, X., Zhang, H., & Lei, V. N.-L. (2025). AI adoption in Chinese universities: Insights, challenges, and opportunities from academic leaders. Acta Psychologica, 258. https://doi.org/10.1016/j.actpsy.2025.105160

Warnken, P. (2004). The Impact of Technology on Information Literacy Education in Libraries. The Journal of Academic Librarianship, 30. https://doi.org/10.1016/j.acalib.2004.01.013

Wu, D., Liang, S., Yuxiang, Z., & Zhang, P. (2025). Smart library in the age of artificial intelligence: Vision, application and strategy∗. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. https://doi.org/10.1145/3677389.3702487

Wu, Y., Lin, Y., Liu, Y., & Yang, Y. (2025). A survey on the current status of AI literacy lectures in China’s university libraries under the AIGC background. The Journal of Academic Librarianship, 51. https://doi.org/10.1016/j.acalib.2025.103111

Xu, Q., Liu, Y., & Li, X. (2025). Unlocking student potential: How AI-driven personalized feedback shapes goal achievement, self-efficacy, and learning engagement through a self-determination lens. Learning and Motivation, 91. https://doi.org/10.1016/j.lmot.2025.102138

Yang, F., Yao, R., Ren, Y., & Guo, L. (2025). Harmony in diversity: Digital literacy research in a multidisciplinary landscape. Computers & Education, 230. https://doi.org/10.1016/j.compedu.2025.105265

Yeung, R. S. K., Tian, R., Chiu, D. K. W., & Choi, S. P.-M. (2025). University students’ perceptions on how generative artificial intelligence shape learning and research practices: A case study in Hong Kong. The Journal of Academic Librarianship, 51. https://doi.org/10.1016/j.acalib.2025.103082

Zhai, Y., Chu, L., Liu, Y., Wang, D., & Wu, Y. (2023). Using deep learning-based artificial intelligence electronic images in improving middle school teachers’ literacy. PeerJ Computer Science, 10. https://doi.org/10.7717/peerj-cs.1844

Zou, J., & Schiebinger, L. (2021). Ensuring that biomedical AI benefits diverse populations. EBioMedicine, 67. https://doi.org/10.1016/j.ebiom.2021.103358

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2026-07-01

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